IG Group

Data Engineer

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MidHybryda·KrakówFull-time

#455772·Dodano 29 dni temu·1

Źródło: IG Group

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Tech Stack / Keywords

GCP BigQueryCloud ComposerAirflowGCSCloud RunSQL Python Apache Kafkadbt

Firma i stanowisko

IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4 million customers and handling billions of dollars in transactions. The Data function serves both central and divisional business lines across IG's entire estate, with a focus on consolidating data platforms onto GCP, improving data quality, and enabling self-service access to trusted data. The Data Engineering team underpins analytics, reporting, compliance, and client-facing data products, powering AI and machine-learning use cases.

Wymagania

Proven hands-on experience building and operating production-grade data pipelines on GCP, including BigQuery, Cloud Composer/Airflow, GCS, and Cloud Run, with strong SQL and Python skills
Solid experience with Apache Kafka or equivalent streaming technologies, including designing event-driven ingestion patterns and troubleshooting real-time data flows
Familiarity with modern transformation tooling, particularly dbt, and understanding of Medallion (Bronze/Silver/Gold) architecture patterns supporting self-service analytics
Quality-first mindset with experience implementing data contracts, lineage tracking, observability tooling, and pipeline SLO monitoring in production
Comfortable working in regulated financial services with knowledge of data governance requirements such as lineage, access control, audit trails, and disciplined change control processes

Obowiązki

Design and build robust batch and real-time data pipelines on GCP, including Kafka-based event streams, BigQuery transformations, and Airflow-orchestrated workflows as part of GCP consolidation and Medallion architecture build-out
Own data quality within delivery area by defining and implementing data contracts, quality checks, and observability instrumentation to ensure pipeline health and SLA compliance
Develop and maintain in-house connectors and third-party native integrations ensuring resilience, monitoring, and long-term maintainability
Contribute to engineering standards and best practices including code review, dbt modeling patterns, CI/CD pipeline hygiene, and change control for shared datasets
Support feature engineering and model data pipelines for Data Science and AI-ready data foundations including lineage, reproducibility, and freshness guarantees for ML workloads

Benefity

Competitive salary and benefits plan
Life Insurance
My Benefit Platform
Medical Insurance with Medicover
1 additional day off for your Birthday
2 additional days off per year for voluntary work
Share Plans for Employees
Free lunch at the office once per week
Employee Assistance Program
Hybrid working model: three days in the office

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IG Group

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